Search results
Results from the WOW.Com Content Network
When performing multiple comparisons in a statistical framework such as above, the false positive ratio (also known as the false alarm rate, as opposed false alarm ratio - FAR) usually refers to the probability of falsely rejecting the null hypothesis for a particular test.
Abnormally elevated AFP in amniotic fluid can have one or more of many different causes: [citation needed] normal elevation. 75% of AF AFP test results in the range 2.0 to 4.9 MoM are false positives: the baby is normal. open neural tube defect; open abdominal wall defect; congenital nephrosis; others
The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.
The term "multiple-marker screening test" is sometimes used instead. [1] [2] This term can encompass the "double test" and "quadruple test" (described below). The Triple screen measures serum levels of AFP, estriol, and beta-hCG, with a 70% sensitivity and 5% false-positive rate.
The false positive rate on rapid antigen testing is rare. ... the higher the proportion of false positive test results.” Put another way, false positive results will always occur—there’s no ...
The triple test measures serum levels of AFP, estriol, and beta-hCG, with a 70% sensitivity and 5% false-positive rate. It is complemented in some regions of the United States, as the Quad test (adding inhibin A to the panel, resulting in an 81% sensitivity and 5% false-positive rate for detecting Down syndrome when taken at 15–18 weeks of ...
A false positive Covid-19 test result can happen, but it’s rare, says Brian Labus, Ph.D., M.P.H., assistant professor at the University of Nevada Las Vegas School of Public Health.
By moving the result cutoff value (vertical bar), the rate of false positives (FP) can be decreased, at the cost of raising the number of false negatives (FN), or vice versa (TP = True Positives, TPR = True Positive Rate, FPR = False Positive Rate, TN = True Negatives). A perfect test would have zero false positives and zero false negatives.